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High-throughput functional annotation of influenza A virus genome at single-nucleotide resolution

By Nicholas C. Wu, Arthur P. Young, Laith Q. Al-Mawsawi, Anders C. Olson, Jun Feng, Hangfei Qi, Shu-Hwa Chen, I-Hsuan Lu, Chung-Yen Lin, Robert G. Chin, Harding H. Luan, Nguyen Nguyen, Stanley F Nelson, Xinmin Li, Ting-Ting Wu, Ren Sun

Posted 31 May 2014
bioRxiv DOI: 10.1101/005702

A novel genome-wide genetics platform is presented in this study, which permits functional interrogation of all point mutations across a viral genome in parallel. Here we generated the first fitness profile of individual point mutations across the influenza virus genome. Critical residues on the viral genome were systematically identified, which provided a collection of subdomain data informative for structure-function studies and for effective rational drug and vaccine design. Our data was consistent with known, well-characterized structural features. In addition, we have achieved a validation rate of 68% for severely attenuated mutations and 94% for neutral mutations. The approach described in this study is applicable to other viral or microbial genomes where a means of genetic manipulation is available.

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